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Related Questions
- What are the advantages and disadvantages of fine-tuning pre-trained language models for domain-specific tasks?
- How does the choice of pre-trained model architecture impact the performance of fine-tuned models?
- What are the key hyperparameters that affect the performance of fine-tuned LLMs for a specific task?
- Can you explain the concept of 'catastrophic forgetting' in the context of fine-tuning pre-trained models?
- How do you determine the optimal number of fine-tuning epochs for a given task and model?
- What are the implications of over-fitting versus under-fitting when fine-tuning pre-trained LLMs?
- How does the size and complexity of the pre-trained model affect its performance when fine-tuned for a specific task?
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